Entropy of Fourier coefficients of periodic musical objects

IF 0.5 2区 数学 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
E. Amiot
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引用次数: 5

Abstract

There are many ways to define and measure organization, or complexity, in music, most using the notion of informational entropy, as the opposite of organization. Some researchers prompted me to study whether it could be done from the magnitudes of Fourier coefficients of musical objects (pc-sets or rhythms) instead of addressing their atomic elements (pitches, rhythmic onsets). Indeed I found that it could be a promising new approach to measuring organization of musical material. This note only purports to expose this novel idea, leaving for future research the task of comparing it with the numerous other definitions. I also sketch the study of one relevant basis for such comparisons which has been little explored, the asymptotics of entropy of arithmetic sequences modulo n.
周期性音乐对象的傅里叶系数熵
有许多方法可以定义和衡量音乐中的组织或复杂性,大多数使用信息熵的概念,作为组织的反义词。一些研究人员促使我研究是否可以从音乐对象(电脑或节奏)的傅里叶系数的大小来完成,而不是处理它们的原子元素(音高,节奏开始)。事实上,我发现这可能是一种很有前途的测量音乐材料组织的新方法。本文仅旨在揭示这一新颖的概念,将其与众多其他定义进行比较的任务留给未来的研究。我还概述了这种比较的一个相关基础的研究,这一基础很少被探索,即以n为模的等差数列的熵的渐近性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Mathematics and Music
Journal of Mathematics and Music 数学-数学跨学科应用
CiteScore
1.90
自引率
18.20%
发文量
18
审稿时长
>12 weeks
期刊介绍: Journal of Mathematics and Music aims to advance the use of mathematical modelling and computation in music theory. The Journal focuses on mathematical approaches to musical structures and processes, including mathematical investigations into music-theoretic or compositional issues as well as mathematically motivated analyses of musical works or performances. In consideration of the deep unsolved ontological and epistemological questions concerning knowledge about music, the Journal is open to a broad array of methodologies and topics, particularly those outside of established research fields such as acoustics, sound engineering, auditory perception, linguistics etc.
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